Instructions to use katanaml/donut-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use katanaml/donut-demo with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="katanaml/donut-demo")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("katanaml/donut-demo") model = AutoModelForImageTextToText.from_pretrained("katanaml/donut-demo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0459885f1275d7f04bf138cfbc6a709a309f95e0410943c18be5d00ca01edf3c
- Size of remote file:
- 809 MB
- SHA256:
- 20ef49ca5448d9aec35e07e4a7c5c16ff289552c8a1bedc576dd907d99f97268
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